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DiffModeler: large macromolecular structure modeling for cryo-EM maps using a diffusion model.

Authors :
Wang X
Zhu H
Terashi G
Taluja M
Kihara D
Source :
Nature methods [Nat Methods] 2024 Dec; Vol. 21 (12), pp. 2307-2317. Date of Electronic Publication: 2024 Oct 21.
Publication Year :
2024

Abstract

Cryogenic electron microscopy (cryo-EM) has now been widely used for determining multichain protein complexes. However, modeling a large complex structure, such as those with more than ten chains, is challenging, particularly when the map resolution decreases. Here we present DiffModeler, a fully automated method for modeling large protein complex structures. DiffModeler employs a diffusion model for backbone tracing and integrates AlphaFold2-predicted single-chain structures for structure fitting. DiffModeler showed an average template modeling score of 0.88 and 0.91 for two datasets of cryo-EM maps of 0-5 Å resolution and 0.92 for intermediate resolution maps (5-10 Å), substantially outperforming existing methodologies. Further benchmarking at low resolutions (10-20 Å) confirms its versatility, demonstrating plausible performance.<br />Competing Interests: Competing interests: Authors declare that they have no competing interests.<br /> (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Details

Language :
English
ISSN :
1548-7105
Volume :
21
Issue :
12
Database :
MEDLINE
Journal :
Nature methods
Publication Type :
Academic Journal
Accession number :
39433880
Full Text :
https://doi.org/10.1038/s41592-024-02479-0